Internet of things in industry

Downtimes, limitations to the manufacturing process, and a drop in the quality of manufactured products are nightmares for any industrial company. To identify and fix a fault and then restart the production process is costly and time-consuming. By installing IoT solutions, you can significantly reduce or even prevent such unplanned outages. The ability to collect and analyse appropriate data can save you a lot of time and money.

IoT IN INDUSTRY MAY HAVE DIFFERENT FORMS

  • Conditional monitoring – the monitoring of the development of operating parameters, which, if some critical limits are exceeded, will notify you about a problem in production, assembly, or any other processes
  • Predictive maintenance – the identification of anomalies in monitored parameters, which gives you an early warning that a maintenance intervention is needed
  • Production quality – the collection, analysis, and visualisation of parameter values that affect the quality of production at the end of the production process
  • Industrial safety – the monitoring of environmental parameters and data analyses that affect worksite safety
  • The implementation of infrastructure for industrial IoT solutions – preparations for private LoRaWAN networks and platforms for the collection, storage, and analysis of industrial data

WHAT THE IMPLEMENTATION LOOKS LIKE

1

AN INITIAL ANALYSIS

2

DESIGNING A SOLUTION

3

IMPLEMENTATION

4

DATA COLLECTION AND PROPOSING MEASURES

5

MONITORING OF THE EFFECTIVENESS OF ANY ADOPTED MEASURES